Staff Software Engineer, Calibration

About this role

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We’re searching for a Staff Software Engineer for the calibration team. The calibration team is responsible for ensuring all sensors on all vehicles remain well aligned to support higher-level autonomy functions. Our software ranges from low-level intrinsics models for our in-house FMCW lidar to high-level continuous/online calibration.

In this role, you will

• Provide technical leadership for the development and ownership of online calibration and state estimation systems to ensure high-level autonomy.

• Design and implement efficient algorithms to process sensor data in real-time.

• Architect high-performance software to support continuous, real-time calibration as trucks operate in the field.

• Collaborate across multidisciplinary teams such as software, hardware, manufacturing, and operations.

Required Qualifications

• 8+ years of professional experience building software for safety critical applications.

• Advanced proficiency in C++, with a focus on high-performance engineering.

• Broad expertise in sensor calibration for various modalities, including cameras, lidars, radars, and IMUs.

• Deep technical knowledge of state estimation and both offline and online calibration techniques.

Desirable Qualifications

• Prior experience within robotics or autonomous vehicle domains.

• Experience with Eigen or other linear algebra libraries.

• Experience with Ceres or G2O or other optimization libraries.

The base